AT-GAN: A Generative Attack Model for Adversarial Transferring on Generative Adversarial Nets

【AT-GAN: A Generative Attack Model for Adversarial Transferring on Generative Adversarial Nets】的更多相关文章

AT-GAN: A Generative Attack Model for Adversarial Transferring on Generative Adversarial Nets

目录概主要内容符号说明 Original Generator Transfer the Generator Wang X., He K., Guo C., Weinberger K., Hopcroft H., AT-GAN: A Generative Attack Model for Adversarial Transferring on Generative Adversarial Nets. arXiv preprint, arXiv: 1904.00783, 2019. 概用GA…

论文笔记之：Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks

Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks NIPS 2015 摘要:本文提出一种 generative parametric model 能够产生高质量自然图像.我们的方法利用 Laplacian pyramid framework 的框架,从粗到细的方式,利用 CNN 的级联来产生图像.在金字塔的每一层,都用一个 GAN,我们的方法可以产生更高分辨率的图像. 引言:在计算…

DEFENSE-GAN: PROTECTING CLASSIFIERS AGAINST ADVERSARIAL ATTACKS USING GENERATIVE MODELS

目录概主要内容 Samangouei P, Kabkab M, Chellappa R, et al. Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models.[J]. arXiv: Computer Vision and Pattern Recognition, 2018. @article{samangouei2018defense-gan:, title={Defen…

论文《A Generative Entity-Mention Model for Linking Entities with Knowledge Base》

A Generative Entity-Mention Model for Linking Entities with Knowledge Base 一．主要方法提出了一种生成概率模型,叫做entity-mention model. Explanation: In our model, each name mention to be linked is modeled as a sample generated through a three-step generative story,…

Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples

Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples 目录概主要内容实验设置损失的影响额外的数据网络结构其他的一些tricks Gowal S., Qin C., Uesato J., Mann T. & Kohli P. Uncovering the Limits of Adversarial Training against Norm-Bounded Adv…

从贝叶斯模型（Bayes）到生成模型（Generative models）（生成式分类器，generative classifier）

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